Triple

T10557456
Position Surface form Disambiguated ID Type / Status
Subject Kỳ Sơn District E249124 entity
Predicate borders P224 FINISHED
Object Cao Phong District E728222 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Cao Phong District | Statement: [Kỳ Sơn District, borders, Cao Phong District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cao Phong District
Context triple: [Kỳ Sơn District, borders, Cao Phong District]
  • A. Cao Phong District chosen
    Cao Phong District is a rural administrative district in Vietnam’s Hòa Bình Province, known for its mountainous terrain and citrus fruit cultivation.
  • B. Quy Hop District
    Quy Hop District is a rural administrative district located in the mountainous western part of Nghệ An Province in north-central Vietnam.
  • C. Nam Truc District
    Nam Truc District is a rural administrative district in Nam Định Province in Vietnam’s Red River Delta region.
  • D. Cao Lanh district
    Cao Lanh district is a rural administrative district in Đồng Tháp Province in Vietnam’s Mekong Delta region.
  • E. Tan Binh District
    Tan Binh District is an urban district of Ho Chi Minh City, Vietnam, known for hosting Tan Son Nhat International Airport and being a major commercial and transportation hub.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d381c733c08190ab1dd6239f5f34ae completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5271521a4819086d96e1f183ab07a completed April 7, 2026, 3:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69e623a9711081908eac4238a717305c completed April 20, 2026, 1:01 p.m.
Created at: April 6, 2026, 12:35 p.m.